Top Artificial Intelligence Jobs

Analyzes and certifies conversational AI queries and answers against source data. Improves prompts, semantic layers, taxonomies, metadata, and data quality while partnering with Product, Data Science, Engineering, QA, and business owners. Documents business logic, writes technical requirements, develops accuracy test cases, contributes to roadmap prioritization, and communicates product updates.

Design, develop, and deploy production-grade multi-agent AI systems for financial pricing and hedging platforms. Build RAG pipelines, vector database integrations, knowledge graph reasoning, planning and memory systems, and resilient agent architectures. Integrate LLMs, predictive models, APIs, tools, and microservices while optimizing latency, throughput, and cost. Apply AI research to financial workflows, collaborate across engineering teams, and mentor engineers on AI development practices.

Designs, builds, documents, tests, and maintains large-scale data pipelines across platforms and sources. Performs ETL and ELT while ensuring data governance, security, quality, validation, anomaly detection, and compliance. Collaborates with architects, analysts, and stakeholders to translate business needs into technical solutions, develops data models, and mentors junior data engineers.

Design, build, and deploy scalable Generative AI solutions (LLMs, RAG, agentic AI) across cloud platforms. Develop pipelines using LangChain/LangGraph, ensure secure, production-grade deployments with containerization, orchestration, IaC, observability, and CI/CD. Collaborate cross-functionally and apply secure coding and governance practices in regulated environments.

Build and evolve scalable generative AI software, including an agentic framework powering Atom AI and an AI asset portal. Develop production-ready web, data, and AI solutions; evaluate emerging models and frameworks; promote responsible AI practices; and ensure solutions are maintainable, cost-effective, and scalable. Partner with stakeholders, lead complex projects, demonstrate solutions, participate in strategy and ideation, and mentor other developers.

Produce high-quality AI-generated visual creatives for performance marketing (paid social, landing pages, video pipelines). Create photorealistic human and lifestyle imagery, iterate based on performance data, collaborate with marketers and editors, and integrate AI tools into structured design workflows to improve conversion rates.

Lead end-to-end development of AI and machine learning solutions for a medical claims synthesis product. Design and deploy LLM-driven features, hybrid statistical ML and RAG systems, document extraction, and human-in-the-loop summarization workflows. Make architecture decisions, optimize production systems, evaluate model performance, collaborate with SMEs and product teams, and mentor engineers. Translate emerging AI research into reliable, scalable production applications.

Leads enterprise AI portfolio governance, including stage-gate standards, operating cadence, executive reporting, cross-functional councils, dependency management, recovery plans, and value realization validation. Oversees enterprise and functional AI bets, holds program sponsors accountable, removes delivery barriers, and escalates risks or unmet commitments. The role manages managers and partners with Finance, HR, Legal, Product, Engineering, and data governance stakeholders across a complex enterprise environment.

Own and build an enterprise AI collaboration platform spanning Slack, Google Workspace, Glean, Claude, and ChatGPT. Develop production AI agents, integrations, APIs, connectors, webhooks, and RAG solutions while enforcing permissions, security, governance, and quality standards. Administer and troubleshoot platform integrations, establish development and deployment practices, evaluate emerging AI capabilities, lead technical reviews, mentor contributors, and serve as the senior technical escalation point.

Own the technical design and operation of an enterprise AI collaboration platform spanning Slack, Google Workspace, Glean, Claude, and ChatGPT. Build production AI agents, integrations, APIs, connectors, workflows, and RAG solutions using MCP and function calling. Ensure security, permissions, governance, reliability, and data grounding. Administer platforms, troubleshoot complex issues, establish engineering standards, lead technical reviews, mentor contributors, and evaluate emerging AI capabilities.

Design and optimize production AI/ML systems using LLMs, RAG, prompt engineering, and multi-agent orchestration. Build secure cloud deployments, data pipelines, ETL processes, metadata catalogs, ontologies, REST APIs, and SDK integrations across government cloud environments. Collaborate with product, security, and engineering teams while applying secure coding, DevOps, and CI/CD practices. Document technical decisions and communicate effectively with technical and non-technical stakeholders.

Build integrations, automation, analytics pipelines, dashboards, and self-service tools for enterprise workforce AI platforms including Microsoft Copilot, Claude, and Glean. Develop adoption and usage reporting, automate platform administration and licensing governance, support AI enablement programs, and integrate privacy, security, and responsible AI practices. Lead complex projects, mentor developers, collaborate with stakeholders, demonstrate solutions, and recommend technology and process improvements.

Designs, builds, and operates large-scale AI infrastructure for training and inference. Responsibilities include managing GPU clusters, distributed training frameworks, workload scheduling, high-performance storage, networking, reliability, cost control, and developer platforms. The engineer collaborates with ML researchers and engineers while applying strong software engineering practices, including testing, CI/CD, and code review.

Designs and maintains AI-first testing frameworks and automation suites for complex workflows and agentic capabilities. Translates quality strategies into automation plans, validates LLM integrations, prompts, and deterministic behaviors, and performs white-box testing. Evaluates AI response relevance, safety, and contextual accuracy through human-in-the-loop processes. Collaborates with developers, product managers, AI/ML engineers, and data scientists to embed quality throughout agile delivery and improve code and test reliability.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and user guidance. Provide rigorous, opinionated feedback distinguishing response quality levels and help define standards for excellent interactions with tools such as Codex, Claude Code, and Cursor. This contract role does not involve production coding and requires senior engineering judgment and familiarity with modern AI-assisted development workflows.

Create daily 60–90-second vertical AI micro-drama episodes for TikTok, Instagram Reels, and YouTube Shorts. Responsibilities include generating scenes with AI tools, editing footage in 9:16 format, maintaining character consistency, syncing music and sound effects, adding timed captions and overlays, and optimizing exports for social platforms. The role requires rapid experimentation, prompt engineering, knowledge of editing and composition, and experience with AI-generated video, static content, and audio.

Leads enterprise AI strategy, roadmap, governance, platform architecture, research, prototyping, and production deployment. Provides hands-on technical direction across AI engineering, software, cloud, data, MLOps/LLMOps, security, observability, and reliability. Owns AI portfolio prioritization, value measurement, vendor strategy, talent development, responsible AI standards, and executive advisory responsibilities while moving innovations from concept through scalable production solutions.

Leads Snowflake’s AI Developer Experience engineering team, setting the roadmap for transforming software development and delivery through AI. Responsibilities include managing and developing engineers, improving code review latency, enabling access to modern AI tools and models, establishing agentic development pathways, and maintaining operational excellence through on-call management, incident response, postmortems, and support prioritization. The role requires strong technical judgment, cross-functional communication, measurable customer impact, and experience modernizing developer productivity and CI/test workflows.

Serve as the technical liaison between IT and hardware design teams, translating engineering requirements into scalable solutions. Validate automotive and aerospace hardware using WCCA and sensitivity analysis, apply AI to automate circuit analysis and engineering workflows, support mixed-signal PCB design, perform high-speed board bring-up and testing, and develop embedded firmware for control systems and power regulation. The role requires electrical engineering expertise, power and signal integrity knowledge, hardware design tools, programming, and leadership experience.

Freelance UX/UI Designer specializing in design systems. Responsibilities include auditing and improving tokens, variables, component architecture, documentation, governance, and contribution workflows. The role also configures MCP-style connections between Figma, documentation platforms, and AI assistants such as Claude, Cursor, and GitHub Copilot. Designers collaborate with engineering and stakeholders, translate institutional knowledge into documentation, and support AI-assisted design-to-code workflows without writing production code.

Lead the strategy, architecture, deployment, and optimization of Salesforce Agentforce agents and AI orchestration systems. Build Data360 and Snowflake integrations supporting unified customer profiles, design prompts and agent logic, establish governance and safety controls, and oversee real-time data synchronization. Partner with Sales, Support, and Customer Success leaders to transform workflows and customer journeys into autonomous systems.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Lead client discovery, define and architect AI-first technical solutions, rapidly prototype AI-powered apps and automations, manage contractors, oversee deployments, and translate business problems into maintainable, production-ready systems while reviewing AI-generated and human-written code.

Own the technical development and administration of an enterprise AI collaboration platform spanning Slack, Google Workspace, Glean, Claude, and ChatGPT. Build production AI agents, RAG integrations, APIs, connectors, workflows, and secure enterprise integrations. Establish standards for development, testing, deployment, governance, and security; troubleshoot complex platform issues; evaluate solution quality and safety; lead technical reviews; mentor contributors; and advise platform leadership on emerging AI capabilities.

Build and maintain backend infrastructure for AZX’s LLM gateway, including routing, rate limiting, key management, observability, sandboxing, Kubernetes services, operators, and autoscaling. Develop high-performance services in Go, Rust, or async Python using Envoy and gRPC. Support reliable model serving across cloud and customer-managed clusters, collaborate across platform teams, and help develop scalable inference and evaluation capabilities.